scholarly journals A Real Application of an Autonomous Industrial Mobile Manipulator within Industrial Context

Electronics ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1276
Author(s):  
Jose Luis Outón ◽  
Ibon Merino ◽  
Iván Villaverde ◽  
Aitor Ibarguren ◽  
Héctor Herrero ◽  
...  
Keyword(s):  
Cognitive Skills ◽  
Autonomous Navigation ◽  
Added Value ◽  
Mobile Manipulator ◽  
Task Management ◽  
3D Perception ◽  
Cooperative Tasks ◽  
Human Operators ◽  
Industrial Context ◽  
And Task

In modern industry there are still a large number of low added-value processes that can be automated or semi-automated with safe cooperation between robot and human operators. The European SHERLOCK project aims to integrate an autonomous industrial mobile manipulator (AIMM) to perform cooperative tasks between a robot and a human. To be able to do this, AIMMs need to have a variety of advanced cognitive skills like autonomous navigation, smart perception and task management. In this paper, we report the project’s tackle in a paradigmatic industrial application combining accurate autonomous navigation with deep learning-based 3D perception for pose estimation to locate and manipulate different industrial objects in an unstructured environment. The proposed method presents a combination of different technologies fused in an AIMM that achieve the proposed objective with a success rate of 83.33% in tests carried out in a real environment.

scholarly journals Innovative Mobile Manipulator Solution for Modern Flexible Manufacturing Processes

Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5414 ◽  
Author(s):  
Jose Luis Outón ◽  
Iván Villaverde ◽  
Héctor Herrero ◽  
Urko Esnaola ◽  
Basilio Sierra
Keyword(s):  
Mass Customization ◽  
Paradigm Shift ◽  
Flexible Manufacturing ◽  
Autonomous Navigation ◽  
Dynamic Environments ◽  
Mobile Manipulator ◽  
New Production ◽  
Security Systems ◽  
Current Mass ◽  
Human Operators

There is a paradigm shift in current manufacturing needs that is causing a change from the current mass-production-based approach to a mass customization approach where production volumes are smaller and more variable. Current processes are very adapted to the previous paradigm and lack the required flexibility to adapt to the new production needs. To solve this problem, an innovative industrial mobile manipulator is presented. The robot is equipped with a variety of sensors that allow it to perceive its surroundings and perform complex tasks in dynamic environments. Following the current needs of the industry, the robot is capable of autonomous navigation, safely avoiding obstacles. It is flexible enough to be able to perform a wide variety of tasks, being the change between tasks done easily thanks to skills-based programming and the ability to change tools autonomously. In addition, its security systems allow it to share the workspace with human operators. This prototype has been developed as part of THOMAS European project, and it has been tested and demonstrated in real-world manufacturing use cases.

Augmented Cognition - Phase 4 Cognitive Assessment and Task Management (CAT-M)

2008 ◽  
Author(s):  
Richard Bingham ◽  
Wilhelm E. Kineses
Keyword(s):  
Cognitive Assessment ◽  
Task Management ◽  
Augmented Cognition ◽  
And Task

Executive Control: Attention Switching, Interruptions, and Task Management

2019 ◽  
pp. 145-160
Author(s):  
Christopher D. Wickens ◽  
Jason S. McCarley
Keyword(s):  
Executive Control ◽  
Task Management ◽  
Attention Switching ◽  
And Task

Effects of Working Memory Capacity, Task Switching, and Task Difficulty on Multitasking Performance

2016 ◽  
Vol 60 (1) ◽  
pp. 502-506 ◽  
Author(s):  
Shijing Liu ◽  
Amy Wadeson ◽  
Na Young Kim ◽  
Chang S. Nam
Keyword(s):  
Working Memory ◽  
Task Switching ◽  
Task Difficulty ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Trail Making ◽  
Human Operators ◽  
Switching Task ◽  
Different Levels ◽  
And Task

Multitasking requires human operators to handle the demands of multiple tasks through task switching at the same time and this ability is required in many jobs. Previous studies showed that different levels of working memory capacity (WMC) and task switching abilities can lead to differences on multitasking performance. With increased complexity of tasks, maintaining task performance is challenging. This study sought to find the relations of WMC, task switching, task difficulty, and multitasking performance. Multi-Attribute Task Battery II (MATB-II) was employed in this study as a platform to assess multitasking. Automated OSPAN and Trail Making Tasks (TMT) were used to assess WMC and the task switching ability, respectively. Results indicated that there were significant effects of these three parameters on multitasking performance. Other dimensions of multitasking performance will be addressed in future studies.

scholarly journals A Robust RANSAC-Based Planet Radius Estimation for Onboard Visual Based Navigation

Sensors ◽  
2020 ◽  
Vol 20 (14) ◽  
pp. 4041
Author(s):  
Francesco de Gioia ◽  
Gabriele Meoni ◽  
Gianluca Giuffrida ◽  
Massimiliano Donati ◽  
Luca Fanucci
Keyword(s):  
Autonomous Navigation ◽  
Navigation Systems ◽  
Processing Pipeline ◽  
Ground Station ◽  
Noise Image ◽  
Simple Processing ◽  
Best Fitting ◽  
Body Center ◽  
Human Operators ◽  
Multiple Spacecraft

Individual spacecraft manual navigation by human operators from ground station is expected to be an emerging problem as the number of spacecraft for space exploration increases. Hence, as an attempt to reduce the burden to control multiple spacecraft, future missions will employ smart spacecraft able to navigate and operate autonomously. Recently, image-based optical navigation systems have proved to be promising solutions for inexpensive autonomous navigation. In this paper, we propose a robust image processing pipeline for estimating the center and radius of planets and moons in an image taken by an on-board camera. Our custom image pre-processing pipeline is tailored for resource-constrained applications, as it features a computationally simple processing flow with a limited memory footprint. The core of the proposed pipeline is a best-fitting model based on the RANSAC algorithm that is able to handle images corrupted with Gaussian noise, image distortions, and frame drops. We report processing time, pixel-level error of estimated body center and radius and the effect of noise on estimated body parameters for a dataset of synthetic images.

scholarly journals Compatibility of Small Team Personalities in Computer-Based Tasks

Challenges ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 29 ◽  
Author(s):  
Angeliki Antoniou
Keyword(s):  
Task Performance ◽  
Personality Assessment ◽  
Group Communication ◽  
Common Goal ◽  
Experimental Conditions ◽  
Cooperative Tasks ◽  
Computer Based ◽  
Small Team ◽  
And Task

There are works that study personality and task performance but there are no (or very few works) that study the balancing of personalities within teams that work together towards a common goal in computer-based tasks. This study investigates how personality compatibility in collaborative tasks affects performance, intra-group communication and participants’ emotions for computer-based tasks and introduces the challenges for research in this field. Using the DISC (dominance, inducement/influence, submission/steadiness, compliance) tool for personality assessment and team compatibility, 12 teams were created with either balanced or imbalanced personality compositions. Results showed statistical differences in emotions between the two experimental conditions and also differences in terms of time needed for the completion of the game. The present work showed the qualitative differences between cooperative tasks and revealed the challenges of studying further team compatibility for different tasks.

Understanding L1 and L2 interaction in collaborative writing: A lexico-grammatical analysis

2019 ◽  
pp. 136216881985991 ◽  
Author(s):  
Meixiu Zhang
Keyword(s):  
Second Language ◽  
Academic Writing ◽  
Collaborative Writing ◽  
First Language ◽  
Task Management ◽  
Grammatical Analysis ◽  
L1 Use ◽  
L1 And L2 ◽  
And Task

Despite previous research suggesting that first language (L1) use fulfills important functions in collaborative writing (CW) tasks, research has yet to examine whether L1 or second language (L2) use may lead to variation in the lexico-grammatical aspects of learners’ collaborative texts and the pair talk. Using a corpus-based approach, this study examined how interacting in the L1 or the L2 during CW tasks influenced the use of lexico-grammatical features in learners’ co-constructed texts and the focus areas of their pair talk. The results suggest that L1 interaction significantly facilitates the production of lexico-grammatical features typical of academic writing in learners’ co-constructed texts. Additionally, compared with L2 interaction, L1 interaction allows learners to focus more on language and task management in pair talk. Methodological and pedagogical implications are discussed.

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